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Table 2 Linear Mixed-Effects (LME) model to study anti-gSG6-P1 response according to age, gender, seasonality, vector control, location and Plasmodium falciparum infection

From: Specific antibodies to Anopheles gSG6-P1 salivary peptide to assess early childhood exposure to malaria vector bites

 

Anti-gSG6-P1 IgG response

Anti-gSG6-P1 IgM response

Estimated coefficient (SE)

P-value

Estimated coefficient (SE)

P-value

Fixed effects

 Intercept

0.57 (0.09)

0.0000

0.36 (0.06)

0.0000

 Age (months)

  3 (n = 133)

  6 (n = 133)

0.184 (0.024)

0.0000

0.081 (0.025)

0.0117

  9 (n = 133)

0.289 (0.025)

0.0000

0.110 (0.026)

0.0000

  12 (n = 133)

0.327 (0.026)

0.0000

0.152 (0.026)

0.0000

 Season

  Dry season 1

  Dry season 2

0.57 (0.09)

0.1445

-0.001 (0.028)

0.9561

  Rain season 1

0.57 (0.09)

0.3689

-0.040 (0.044)

0.3590

  Rain season 2

0.57 (0.09)

0.7927

-0.029 (0.030)

0.3218

 Vector control

  No ITN

  ITN

0.075 (0.025)

0.0037

−0.023 (0.027)

0.3904

 Plasmodium prevalence

  Not infected

  Infected

0.016 (0.064)

0.8084

0.089 (0.068)

0.1943

 Plasmodium density

0.031 (0.011)

0.0065

0.031 (0.010)

0.0037

 Entomological risk of exposure

−0.003 (0.004)

0.4677

0.009 (0.005)

0.0578

Random effects

 Village level

0.074 (0.045)

0.091 (0.086)

 Individual level

0.241(0.183)

0.157 (0.202)

  1. The classes of variables with significant p value are highlighted in italic
  2. The intercept is the constant value when all independent variables are zeros (e.g. the value of median Ab response in someone with no risk factors). Random effects of the model were estimated at individual and village levels in the form of standard deviation. The estimated coefficient, its confidence interval and the degree of signification (P-value) are indicated. A positive regression coefficient means that the explanatory variable increases the probability of Ab response to gSG6-P1, while a negative regression coefficient means the contrary.